Isabel Schobert

Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRI

Charlie Alexander Hamm, Clinton J. Wang, Lynn Jeanette Savic et al. · European Radiology · 2019 · 342 citations · Full text

Medicine, Computer Science, Radiology +17

Deep learning for liver tumor diagnosis part II: convolutional neural network interpretation using radiologic imaging features

Clinton J. Wang, Charlie Alexander Hamm, Lynn Jeanette Savic et al. · European Radiology · 2019 · 151 citations · Full text

Medicine, Oncology, Radiology +17

Neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios as predictors of tumor response in hepatocellular carcinoma after DEB-TACE

Isabel Schobert, Lynn Jeanette Savic, Julius Chapiro et al. · European Radiology · 2020 · 121 citations

Medicine, Hematology, Oncology +16

Automated detection and delineation of hepatocellular carcinoma on multiphasic contrast-enhanced MRI using deep learning

Khaled Bousabarah, Brian Letzen, Jonathan Tefera et al. · Abdominal Radiology · 2020 · 82 citations · Full text

Medicine, Computer Science, Radiology +16

Deep learning–assisted differentiation of pathologically proven atypical and typical hepatocellular carcinoma (HCC) versus non-HCC on contrast-enhanced MRI of the liver

Paula M. Oestmann, Clinton J. Wang, Lynn Jeanette Savic et al. · European Radiology · 2021 · 80 citations · Full text

Medicine, Oncology, Radiology +16